Multi-objective Optimization of RFID Network Based on Genetic Programming


	Information Technology Journal
	Year: 2011 \| Volume: 10 \| Issue: 12 \| Page No.: 2427-2433 DOI: 10.3923/itj.2011.2427.2433

Multi-objective Optimization of RFID Network Based on Genetic Programming

Pan Weijie, Li Shaobo, Xie Qingsheng and Yang Guanci

Abstract: With the widespread application of RFID tags, the layout of RFID readers under guaranteed the rate of coverage, RFID network load balance and communication quality which becomes a major focus of current research on RFID network. Present study analyzes the characteristics of RFID network and the disadvantages of current optimization methods on readers’ network, by establishing the mathematical optimization model of RFID network, a kind of method that multi-objective optimization of RFID network based on Genetic Programming is proposed and the evolutional topological operators, terminal set and fitness functions are designed. Finally, it realized the module of the multi-objective optimization algorithm, the number of readers and the layout of readers’ automatic optimization. The experimental results show that it has higher efficiency, faster convergence rate and good accuracy. It can keep well balance between topology and parameter search. This research has important reference value in the theory and practice.

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How to cite this article:

Pan Weijie, Li Shaobo, Xie Qingsheng and Yang Guanci, 2011. Multi-objective Optimization of RFID Network Based on Genetic Programming. Information Technology Journal, 10: 2427-2433.

DOI: 10.3923/itj.2011.2427.2433

URL: https://scialert.net/abstract/?doi=itj.2011.2427.2433

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